Leopoldo Bertossi

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Carleton University ∙ RelationalAI, Inc. ∙ Universidad Adolfo Ibáñez

Full Professor of Computer Science at Carleton University, Canada since 2001, Member of the "Millenium Research Institute for Foundations of Data", A 10-year initiative funded by the Government of Chile, since 2018, First Fellow of the Alberto Mendelzon WS on Foundations of Data MAnagement (AMW), 2017, Special Recognition of the Brazilean Computer Science Society, 2017, Honor WS at AMW'17, Doctor Honoris Causa. Universidad Privada Antenor Orrego. Peru, Nov. 2015, (First) Honorary Member of the Chilean Computer Science Society (SCCC), Former Faculty Fellow, IBM Center for Advanced Studies, Toronto Lab, Former member of the ACM Distinguished Speakers Program.

An ASP-Based Approach to Counterfactual Explanations for Classification

We propose answer-set programs that specify and compute counterfactual i...
04/28/2020 ∙ by Leopoldo Bertossi, et al. ∙ 0 ∙ share

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Causality-based Explanation of Classification Outcomes

We propose a simple definition of an explanation for the outcome of a cl...
03/15/2020 ∙ by Leopoldo Bertossi, et al. ∙ 14 ∙ share

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The Shapley Value of Tuples in Query Answering

We investigate the application of the Shapley value to quantifying the c...
04/18/2019 ∙ by Ester Livshits, et al. ∙ 0 ∙ share

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Repair-Based Degrees of Database Inconsistency: Computation and Complexity

We propose a generic numerical measure of the inconsistency of a databas...
09/27/2018 ∙ by Leopoldo Bertossi, et al. ∙ 0 ∙ share

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Measuring and Computing Database Inconsistency via Repairs

We propose a generic numerical measure of inconsistency of a database wi...
04/24/2018 ∙ by Leopoldo Bertossi, et al. ∙ 0 ∙ share

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Datalog: Bag Semantics via Set Semantics

Duplicates in data management are common and problematic. In this work, ...
03/17/2018 ∙ by Leopoldo Bertossi, et al. ∙ 0 ∙ share

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Characterizing and Computing Causes for Query Answers in Databases from Database Repairs and Repair Programs

A correspondence between database tuples as causes for query answers in ...
12/04/2017 ∙ by Leopoldo Bertossi, et al. ∙ 0 ∙ share

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The Causality/Repair Connection in Databases: Causality-Programs

In this work, answer-set programs that specify repairs of databases are ...
04/17/2017 ∙ by Leopoldo Bertossi, et al. ∙ 0 ∙ share

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Ontological Multidimensional Data Models and Contextual Data Qality

Data quality assessment and data cleaning are context-dependent activiti...
04/01/2017 ∙ by Leopoldo Bertossi, et al. ∙ 0 ∙ share

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Enforcing Relational Matching Dependencies with Datalog for Entity Resolution

Entity resolution (ER) is about identifying and merging records in a dat...
11/21/2016 ∙ by Zeinab Bahmani, et al. ∙ 0 ∙ share

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Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraints

Causality has been recently introduced in databases, to model, character...
11/06/2016 ∙ by Leopoldo Bertossi, et al. ∙ 0 ∙ share

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Extending Weakly-Sticky Datalog+/-: Query-Answering Tractability and Optimizations

Weakly-sticky (WS) Datalog+/- is an expressive member of the family of D...
07/10/2016 ∙ by Mostafa Milani, et al. ∙ 0 ∙ share

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Consistency and Trust in Peer Data Exchange Systems

We propose and investigate a semantics for "peer data exchange systems" ...
06/06/2016 ∙ by Leopoldo Bertossi, et al. ∙ 0 ∙ share

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Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints

Causality has been recently introduced in databases, to model, character...
02/20/2016 ∙ by Babak Salimi, et al. ∙ 0 ∙ share

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ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution

Entity resolution (ER), an important and common data cleaning problem, i...
02/07/2016 ∙ by Zeinab Bahmani, et al. ∙ 0 ∙ share

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Query-Answer Causality in Databases: Abductive Diagnosis and View-Updates

Causality has been recently introduced in databases, to model, character...
06/13/2015 ∙ by Babak Salimi, et al. ∙ 0 ∙ share

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Tractable Query Answering and Optimization for Extensions of Weakly-Sticky Datalog+-

We consider a semantic class, weakly-chase-sticky (WChS), and a syntacti...
04/13/2015 ∙ by Mostafa Milani, et al. ∙ 0 ∙ share

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Leopoldo Bertossi

Featured Co-authors

Dan Suciu

Benny Kimelfeld

Georg Gottlob

Babak Salimi

Reinhard Pichler

Maximilian Schleich

Ester Livshits

Mostafa Milani

Nikolaos Vasiloglou

Zografoula Vagena

Zeinab Bahmani

An ASP-Based Approach to Counterfactual Explanations for Classification

Causality-based Explanation of Classification Outcomes

The Shapley Value of Tuples in Query Answering

Repair-Based Degrees of Database Inconsistency: Computation and Complexity

Measuring and Computing Database Inconsistency via Repairs

Datalog: Bag Semantics via Set Semantics

Characterizing and Computing Causes for Query Answers in Databases from Database Repairs and Repair Programs

The Causality/Repair Connection in Databases: Causality-Programs

Ontological Multidimensional Data Models and Contextual Data Qality

Enforcing Relational Matching Dependencies with Datalog for Entity Resolution

Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraints

Extending Weakly-Sticky Datalog+/-: Query-Answering Tractability and Optimizations

Consistency and Trust in Peer Data Exchange Systems

Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints

ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution

Query-Answer Causality in Databases: Abductive Diagnosis and View-Updates

Tractable Query Answering and Optimization for Extensions of Weakly-Sticky Datalog+-